Numpy with Python

NumPy is a library for the Python programming language

4.22 (220 reviews)
Udemy
platform
English
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IT Certification
category
Numpy with Python
16โ€ฏ534
students
3 hours
content
Jan 2020
last update
FREE
regular price

What you will learn

1. NumPy Introduction 2. Python Numpy Array 3. Indexing & Slicing - 1 4. Indexing & Slicing - 2 5. Statistical Functions, Operators & Random Numbers 6. What is Data Science 7. What is Machine Learning

Why take this course?

๐Ÿš€ Master Data Analysis with Numpy and Python! ๐Ÿš€

Dive into the world of data with our comprehensive online course, "Numpy with Python". This course is designed for beginners and intermediate learners who wish to leverage the power of NumPy to perform complex data operations effortlessly. With a focus on hands-on learning and real-world applications, you'll gain a strong foundation in data analysis using Python. ๐Ÿ“Š

Course Highlights:

๐ŸŽฏ Essential Topics Covered:

  • Installation & Setup: Get started with NumPy by installing it via Anaconda โ€“ the most popular Python distribution for data science.
  • NumPy Fundamentals: Learn how to create, manipulate, and understand the different types of NumPy arrays, including multidimensional arrays.
  • Data Analysis Techniques: Calculate essential statistics such as mean, median, mode, and standard deviation with just a few lines of code.
  • Advanced Indexing & Slicing: Master the art of accessing data in NumPy arrays with powerful indexing and slicing methods for efficient data manipulation.
  • Statistical Functions & Random Number Generation: Utilize NumPy's robust statistical functions and generate random numbers for simulations and prototyping.

In-Depth Modules:

  1. NumPy Introduction ๐Ÿ“ˆ

    • Get acquainted with the NumPy library and its place in Python data analysis.
  2. Python Numpy Array ๐Ÿงฎ

    • Understand the creation of Numpy arrays and their properties.
  3. Indexing & Slicing - Part 1 โš›๏ธ

    • Learn how to effectively select, modify, and query array elements with indexing techniques.
  4. Indexing & Slicing - Part 2 ๐Ÿ”จ

    • Dive deeper into slicing arrays, understanding views vs. copies, and manipulating data subsets.
  5. Statistical Functions, Operators & Random Numbers ๐Ÿ“Š

    • Explore the vast array of statistical functions that NumPy offers for descriptive statistics and probability distributions.
  6. What is Data Science? ๐ŸŒ

    • Gain insights into the field of data science and its importance in today's world.
  7. What is Machine Learning? ๐Ÿค–

    • Understand the basics of machine learning and how NumPy can be a cornerstone in developing predictive models.

๐Ÿ”ฅ Why Choose This Course?

  • Expert Instructor: Learn from DATAhill Solutions Srinivas Reddy, an experienced professional with a passion for teaching data science.
  • Real-World Projects: Apply your knowledge by working on practical projects that showcase the application of NumPy in real-world scenarios.
  • Flexible Learning: Access course materials anytime, anywhere, and at your own pace.
  • Community Support: Engage with a community of like-minded learners, share insights, and troubleshoot challenges together.

Ready to unlock the potential of your data? Enroll in "Numpy with Python" today and transform your data into actionable insights! ๐ŸŒŸ

Join us and turn your data into compelling stories with Numpy and Python! ๐ŸŽ‰

Screenshots

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udemy ID
15/01/2020
course created date
19/01/2020
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